Feature selection of unbalanced breast cancer data using particle swarm optimization

Amal Elnawasany, Mohamed Abd Allah Makhlouf, BenBella Tawfik, Hamed Nassar

Open source

DOI: 10.11591/ijece.v12i5.pp4951-4959
Published: 2022-10-01
Container: International Journal of Electrical and Computer Engineering (IJECE)
Publisher: Institute of Advanced Engineering and Science
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.11591/ijece.v12i5.pp4951-4959,
  title = {Feature selection of unbalanced breast cancer data using particle swarm optimization},
  author = {Amal Elnawasany and Mohamed Abd Allah Makhlouf and BenBella Tawfik and Hamed Nassar},
  year = {2022},
  journal = {International Journal of Electrical and Computer Engineering (IJECE)},
  doi = {10.11591/ijece.v12i5.pp4951-4959},
  url = {https://doi.org/10.11591/ijece.v12i5.pp4951-4959}
}

RIS

TY  - JOUR
TI  - Feature selection of unbalanced breast cancer data using particle swarm optimization
AU  - Amal Elnawasany
AU  - Mohamed Abd Allah Makhlouf
AU  - BenBella Tawfik
AU  - Hamed Nassar
PY  - 2022
JO  - International Journal of Electrical and Computer Engineering (IJECE)
DO  - 10.11591/ijece.v12i5.pp4951-4959
UR  - https://doi.org/10.11591/ijece.v12i5.pp4951-4959
ER  -

APA

Elnawasany, A., Makhlouf, M. A. A., Tawfik, B., & Nassar, H. (2022). Feature selection of unbalanced breast cancer data using particle swarm optimization. International Journal of Electrical and Computer Engineering (IJECE). https://doi.org/10.11591/ijece.v12i5.pp4951-4959

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crossref · retrieved 2026-09-26T06:30:32.639Z